Tool Wear Monitoring of Turning Operations by Neural Network and Expert System Classification of a Feature Set Generated from Multiple Sensors

Author： Silva R.G.   Reuben R.L.   Baker K.J.   Wilcox S.J.  

Publisher： Academic Press

ISSN： 0888-3270

Source： Mechanical Systems and Signal Processing, Vol.12, Iss.2, 1998-03, pp. : 319-332

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

On-Line and Indirect Tool Wear Monitoring in Turning with Artificial Neural Networks: A Review of More Than a Decade of Research

By Sick B.  

Mechanical Systems and Signal Processing, Vol. 16, Iss. 4, 2002-07 ,pp. : 487-546

Academic Press

Access to resources Recommend Favorite

Wear Monitoring in Turning Operations using Vibration and Strain Measurements

By Scheffer C.   Heyns P.S.  

Mechanical Systems and Signal Processing, Vol. 15, Iss. 6, 2001-11 ,pp. : 1185-1202

Academic Press

Access to resources Recommend Favorite

Neural Network Expert System in the Application of the EMC Design

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 742, 2015-04 ,pp. : 355-359

Trans Tech Publications

Access to resources Recommend Favorite

Tool Wear Prediction from Acoustic Emission and Surface Characteristics Via an Artificial Neural Network

By Wilkinson P.   Reuben R.L.   Jones J.D.C.   Barton J.S.   Hand D.P.   Carolan T.A.   Kidd S.R.  

Mechanical Systems and Signal Processing, Vol. 13, Iss. 6, 1999-11 ,pp. : 955-966

Academic Press

Access to resources Recommend Favorite

Artificial Neural Network Model for Tool Condition Monitoring in Stone Drilling

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 772, 2015-08 ,pp. : 268-273

Trans Tech Publications

Access to resources Recommend Favorite